15.0 - 20.0 years

40 - 45 Lacs

mumbai

Work from Office

Job Summary 1520 years in equity fund management, preferably in AIF structures with end-to-end responsibility for portfolio construction and client-facing outputs Job Description 1. Portfolio Management & Construction Develop, execute, and monitor long-term investment strategies across equity and alternative-oriented CAD-II AIF portfolios. Construct portfolios blending top-down macro insights with bottom-up stock/deal selection. Design exit strategies aligned with fund mandate, liquidity considerations, and regulatory norms. Ensure portfolio alignment with fund mandates, risk-return objectives, and SEBI AIF guidelines. 2. Research Integration & Decision-Making Integrate proprietary, sectoral, and third-party research into investment decisions. Collaborate with analysts and sector specialists to evaluate private and listed opportunities. Maintain a forward-looking investment pipeline consistent with the CAD-II mandate, including unlisted and illiquid assets. Conduct rigorous due diligence and deal structuring for private equity-style investments. 3. Performance Tracking & Optimization Monitor portfolio performance against defined fund objectives and investor commitments. Attribute performance across listed, unlisted, and sector allocations with a long-term orientation. Recommend portfolio rebalancing and capital deployment strategies where required. 4. Investor Reporting & Communication Deliver transparent investor communication through webinars, portfolio reviews, and strategy notes. Provide detailed rationales for investments, valuations, and exit strategies. Support client-facing teams with structured presentations and performance reports. 5. Regulatory & Operational Compliance Ensure strict adherence to SEBI AIF Regulations, CAD-II norms, and internal investment policies. Maintain updated documentation on fund strategy, asset valuation, and compliance records. Coordinate with compliance, legal, and risk teams for periodic audits and reporting. 6. Technology & Analytics Enablement Leverage Bloomberg, valuation models, MIS dashboards, and Excel-based tools for investment decision support. Apply private equity-style valuation methods (DCF, NAV-based, third-party appraisals). Promote automation, audit trails, and workflow integrity in fund operations.

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Responsible AI & Research Integration Cognizant

10.0 - 18.0 years

0 Lacs

karnataka

On-site

As a Senior Scientist specializing in Responsible AI & Research Integration, you will be playing a critical role in bridging the gap between academic research in AI safety and the practical development of AI products. Based in Bangalore, this high-impact position requires 10 to 18 years of experience in the field. Your primary responsibility will be to advance the frontiers of Responsible AI and AI safety through both foundational and applied research. Approximately 60% of your time will be dedicated to conducting research on topics such as model alignment, transparency, behavioral safety, and oversight mechanisms for autonomous systems. The remaining 40% will involve translating these research insights into practical tools, features, and governance components that can be integrated into internal systems and external offerings. Collaboration will be key in this role, as you will work closely with the AI Research Lab and Responsible AI Office to define research agendas and translate findings into product features and governance frameworks. Additionally, you will be involved in building partnerships with academic labs, participating in external working groups, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Your responsibilities will also include developing product roadmap specifications, evaluating early-stage startups in the AI safety space, and monitoring the competitive landscape to identify market gaps in responsible AI tooling. Building collaborative relationships with academic labs, research consortia, and external fellows, as well as representing the company in research summits and public forums, will be part of your external engagement activities. To excel in this role, you should have a PhD in Computer Science, Artificial Intelligence, or a related discipline, with a strong publication record in AI safety research. Experience in translating research into production-ready tools, collaborating with interdisciplinary teams, and evaluating early-stage AI companies will be essential. Strong communication skills, the ability to synthesize insights from academic research, and a network within the responsible AI research community will also be valuable assets. If you are passionate about driving advancements in Responsible AI, thriving at the intersection of science, systems thinking, and strategic influence, and have a track record of contributing to cutting-edge research and product development, this role offers a unique opportunity to make a significant impact in the field.,

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